Difference between revisions of "Network Analysis of Interlocking Directorates"
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| − | ==<font face="Corbel" color= #8A740C> | + | ==<font face="Corbel" color= #8A740C>Our Project</font>== |
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| + | Interlocking directorates has been an interesting topic that captured much attention from the researchers and the public for more than a century. Many methods have been developed to analyze this two-mode network, revealing its practical application in diverse fields of study. | ||
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| + | In this study, we study the data from Singapore interlocking directorates network, visualize it using visual analytics tools, determine its patterns and propose some of the applications using the visualization and analysis results. Our proposed applications includes using interlocking directorates network to early detect the commitment of accounting fraud, as well as to aid the Singapore authorities in urban development planning. | ||
| + | <br/> | ||
| + | This is the integration from the knowledge we have acquired from accounting, information systems, business administration and social sciences courses, which we hope the idea would be able to be applied in real life. | ||
==<font face="Corbel" color= #8A740C> Important Updates</font>== | ==<font face="Corbel" color= #8A740C> Important Updates</font>== | ||
Revision as of 05:43, 24 April 2015
| Home | Project Overview | Findings & Insights | Project Management | Project Documentation | Learning Outcomes |
Our Project
Interlocking directorates has been an interesting topic that captured much attention from the researchers and the public for more than a century. Many methods have been developed to analyze this two-mode network, revealing its practical application in diverse fields of study.
In this study, we study the data from Singapore interlocking directorates network, visualize it using visual analytics tools, determine its patterns and propose some of the applications using the visualization and analysis results. Our proposed applications includes using interlocking directorates network to early detect the commitment of accounting fraud, as well as to aid the Singapore authorities in urban development planning.
This is the integration from the knowledge we have acquired from accounting, information systems, business administration and social sciences courses, which we hope the idea would be able to be applied in real life.
Important Updates
Our final presentation slides has been uploaded. Please visit Project Documentation to download.
Stakeholders
Team Members
LE Hoang Trinh
ZHENG Tianwei
Supervisors
Prof. KAM Tin Seong
Associate Professor of Information Systems
Senior Advisor, SIS Programmes in Analytics
